set_gpu_config

THE RISK

Medium Risk

Why set_gpu_config needs a policy

The name suggests configuring GPU settings, which is a Write operation (modifying system/application configuration). Without a description, confidence is low. It is unlikely to be Destructive or Financial, and probably writes/updates GPU configuration parameters rather than reading them.

From the tool's definition Tool name: set_gpu_config — description is empty and uninformative.

Documented attack patterns abuse exactly the kind of access set_gpu_config gives an agent:

POLICY

How to control set_gpu_config

PolicyLayer is an MCP gateway — it sits between your AI agents and Metashape MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for set_gpu_config:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "set_gpu_config": {
      "limits": [
        {
          "counter": "set_gpu_config_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

set_gpu_config stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register Metashape MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about set_gpu_config

What does the set_gpu_config tool do? +

set_gpu_config. It is categorised as a Write tool in the Metashape MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_gpu_config? +

Register the Metashape MCP Server MCP server in PolicyLayer and add a rule for set_gpu_config: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Metashape MCP Server. Nothing to install.

What risk level is set_gpu_config? +

set_gpu_config is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit set_gpu_config? +

Yes. Add a rate_limit block to the set_gpu_config rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block set_gpu_config completely? +

Set action: deny in the PolicyLayer policy for set_gpu_config. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides set_gpu_config? +

set_gpu_config is provided by the Metashape MCP Server MCP server (jenkinsm13/metashape-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Metashape MCP Server tool call.

Start from Metashape MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →